halcon 16bit与8bit图像数据相互转换
dev_open_file_dialog ('read_image', 'default', 'default', Selection)
read_image (Image, Selection)
** 1. 寻找彩色图像中亮度最大的通道
decompose3 (Image, ImageRed, ImageGreen, ImageBlue)
min_max_gray (ImageRed, ImageRed, 0.09, Min1, RMax1, Range1)
min_max_gray (ImageGreen, ImageGreen, 0.09, Min1, GMax1, Range1)
min_max_gray (ImageBlue, ImageBlue, 0.09, Min1, BMax1, Range1)
concat_obj (ImageRed, ImageGreen, ObjectsConcat)
concat_obj (ObjectsConcat, ImageBlue, ObjectsConcat)
* maxData:=[RMax1,GMax1,BMax1]
maxData:=[0,1,1]
tuple_max (maxData, Max1)
tuple_find (maxData, Max1, Indices)
if(|Indices|#1)
Indices:=Indices[|Indices|-1]
endif
select_obj (ObjectsConcat, ObjectSelected, Indices+1)
stop()
get_image_size (Image, Width1, Height1)
**2. 8bit单色图转换为16bit
get_region_points (Image, Row, Column)
get_grayval (Image, Row, Column, Grayval)
gen_image_const (Image1, 'uint2', Width1, Height1)
set_grayval (Image1, Row, Column, Grayval*256+Grayval/255)
convert_image_type (Image1, Image11, 'uint2')
min_max_gray (Image11, Image11, 0, Min, Max, Range)
* write_image (Image11, 'tiff', 0, '1')
**3. 16bit单色图转换为8bit
scale_image (Image, ImageScaled, 1.0/255, 0)
convert_image_type (Image, ImageConverted, 'byte')
* min_max_gray (ImageConverted, ImageConverted, 0, Min2, Max2, Range2)
write_image (ImageConverted, 'tiff', 0, '1')
**4. 8bit彩色图转换为16bit彩色图
get_image_pointer3 (Image, PointerRed, PointerGreen, PointerBlue, Type1, Width3, Height3)
***彩色R画面
gen_image1 (ImageR, Type1, Width1, Height1, PointerRed)
get_region_points (ImageR, Rows, Columns)
get_grayval (ImageR, Rows, Columns, GrayvalR)
gen_image_const (ImageR, 'uint2', Width1, Height1)
set_grayval (ImageR, Rows, Columns, GrayvalR*256+GrayvalR/255)
convert_image_type (ImageR, ImageRc, 'uint2')
get_image_pointer1 (ImageRc, PointerRc, Type, Width, Height)
***彩色G画面
gen_image1 (ImageG, Type1, Width1, Height1, PointerGreen)
get_region_points (ImageG, Rows, Columns)
get_grayval (ImageG, Rows, Columns, GrayvalG)
gen_image_const (ImageG, 'uint2', Width1, Height1)
set_grayval (ImageG, Rows, Columns, GrayvalG*256+GrayvalG/255)
convert_image_type (ImageG, ImageGc, 'uint2')
get_image_pointer1 (ImageGc, PointerGc, Type, Width, Height)
***彩色B画面
gen_image1 (ImageB, Type1, Width1, Height1, PointerBlue)
get_region_points (ImageB, Rows, Columns)
get_grayval (ImageB, Rows, Columns, GrayvalB)
gen_image_const (ImageB, 'uint2', Width1, Height1)
set_grayval (ImageB, Rows, Columns, GrayvalB*256+GrayvalB/255)
convert_image_type (ImageB, ImageBc, 'uint2')
get_image_pointer1 (ImageBc, PointerBc, Type, Width, Height)
gen_image3 (ImageRGB, Type, Width, Height, PointerRc, PointerGc, PointerBc)
* write_image (ImageRGB, 'tiff', 0, '16color')
上述分为4个功能部分可通过加载对应图像数据进行验证，例如可查看8bit图像转换为16bit时对应灰阶值，可知功能有效，同理8bit可以转换为10bit,12bit的图像数据。
图像数据转换关系概述:
- 相机8bit图像数据 灰度值Gray范围0-255 byte(halcon中图像格式)
- 相机12bit 图像数据需要转换成16bit数据流进行输出 一般高4位为0 灰度值Gray范围0-2.^12-1 转换为8bit图像数据进行处理，Gray/2.^4 int4(halcon中图像格式)
- 相机16bit图像数据 灰度值Gray范围0-2.^16-1 转换为8bit图像数据进行处理，Gray/(2.^8-1) uint2(halcon中图像格式)